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The optimal allocation of Covid-19 vaccines
We develop a simple model of vaccine prioritization for a potential pandemic. We illustrate how the model applies to the case of Covid-19, using an early 2020 primitive estimate of occupation-based exposure risks and age-based infection fatality rates. Even based on primitive estimates the vaccine d...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886398/ https://www.ncbi.nlm.nih.gov/pubmed/36741504 http://dx.doi.org/10.1016/j.econlet.2023.111008 |
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author | Babus, Ana Das, Sanmay Lee, SangMok |
author_facet | Babus, Ana Das, Sanmay Lee, SangMok |
author_sort | Babus, Ana |
collection | PubMed |
description | We develop a simple model of vaccine prioritization for a potential pandemic. We illustrate how the model applies to the case of Covid-19, using an early 2020 primitive estimate of occupation-based exposure risks and age-based infection fatality rates. Even based on primitive estimates the vaccine distribution strongly emphasizes age-based mortality risk rather than occupation-based exposure risk. Among others, our result suggests that 50-year-old food-processing workers and 60-year-old financial advisors should have been equally prioritized. We also find that the priorities minimally change when certain populations’ exposure risks are altered by targeted stay-at-home orders or call-up of essential workers. |
format | Online Article Text |
id | pubmed-9886398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98863982023-01-31 The optimal allocation of Covid-19 vaccines Babus, Ana Das, Sanmay Lee, SangMok Econ Lett Article We develop a simple model of vaccine prioritization for a potential pandemic. We illustrate how the model applies to the case of Covid-19, using an early 2020 primitive estimate of occupation-based exposure risks and age-based infection fatality rates. Even based on primitive estimates the vaccine distribution strongly emphasizes age-based mortality risk rather than occupation-based exposure risk. Among others, our result suggests that 50-year-old food-processing workers and 60-year-old financial advisors should have been equally prioritized. We also find that the priorities minimally change when certain populations’ exposure risks are altered by targeted stay-at-home orders or call-up of essential workers. Elsevier B.V. 2023-03 2023-01-31 /pmc/articles/PMC9886398/ /pubmed/36741504 http://dx.doi.org/10.1016/j.econlet.2023.111008 Text en © 2023 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Babus, Ana Das, Sanmay Lee, SangMok The optimal allocation of Covid-19 vaccines |
title | The optimal allocation of Covid-19 vaccines |
title_full | The optimal allocation of Covid-19 vaccines |
title_fullStr | The optimal allocation of Covid-19 vaccines |
title_full_unstemmed | The optimal allocation of Covid-19 vaccines |
title_short | The optimal allocation of Covid-19 vaccines |
title_sort | optimal allocation of covid-19 vaccines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886398/ https://www.ncbi.nlm.nih.gov/pubmed/36741504 http://dx.doi.org/10.1016/j.econlet.2023.111008 |
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